Geospatial and machine learning approaches for malaria risk mapping in flood-prone districts: Implications for public health decision-making

Public Health · Published 2026-06-16 · DOI 10.1016/j.puhe.2026.106367

Authors (6)

Yahya Khan, Umair Bin Nisar, Muhammad Rizwan Mughal, Athar Hussain, Sidra Daud, Siddique Akhtar Ehsan

Abstract

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Publication details

Year
2026

Citation

Khan, Y., Nisar, U., Mughal, M., et al. (2026). Geospatial and machine learning approaches for malaria risk mapping in flood-prone districts: Implications for public health decision-making. Public Health. https://doi.org/10.1016/j.puhe.2026.106367

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